Abstract: Synchronous federated learning (FL) is a popular paradigm for collaborative edge learning. It typically involves a set of heterogeneous devices locally training neural network (NN) models in ...

Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more information as learning occurs.

Abstract: Accurate real-time temperature estimation in permanent magnet synchronous motors is critical for safe and efficient operation. This article presents an attention-based deep learning ...